Senior Lead Software Engineer, Back-End Distributed Systems; AWS, Go, Kubernetes, MCP, Lua, Python
Listed on 2026-05-21
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Software Development
Cloud Engineer - Software, Software Engineer, Senior Developer, Full Stack Developer
Senior Lead Software Engineer, Back‑End Distributed Systems (AWS, Go, Kubernetes, MCP, Lua, Python)
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast‑paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers, and disruptors who solve real problems and meet real customer needs.
What You’ll Do- Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, creating solutions that meet regulatory needs for the company
- Share passion for staying on top of tech trends, experimenting with and learning new technologies, mentoring other members of the engineering community, and occasionally writing or evaluating code
- Collaborate with digital product managers to deliver robust cloud‑based solutions that drive powerful experiences for millions of Americans seeking financial empowerment
- Utilize programming languages such as JavaScript, Java, HTML/CSS, Type Script, SQL, Python, and Go; open‑source RDBMS and No
SQL databases; container orchestration services including Docker and Kubernetes; and a variety of AWS tools and services
- Bachelor’s Degree
- At least 6 years of experience in software engineering (internship experience does not apply)
- At least 1 year of experience with cloud computing (AWS, Microsoft Azure, or Google Cloud)
- Master’s Degree
- 9+ years of experience in at least one of the following:
Java, Scala, Python, Go, or Node.js - 4+ years of experience with AWS, GCP, Azure, or another cloud service
- 4+ years of experience in open‑source frameworks
- 1+ years of people‑management experience
- 2+ years of experience with Agile practices
- 2+ years of experience with Amazon Sage Maker, Databricks, or another comprehensive ML platform
- Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well‑being. Learn more at
Capital One is an equal‑opportunity employer committed to non‑discrimination in compliance with applicable laws.
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